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Filling compound effects, analysis

We computed an analysis of variance over Table 1, followed by tests of specific effects. Two results were statistically significant. Random selection of compounds was better than cluster or space-filling selection. BCUT descriptors were better for analysis than either of the principal component descriptor sets. [Pg.331]

Mechanism-specific in vitro bioassays, e.g. for dioxin-like or estrogenic activity, can fill in specific gaps left open by chemical analysis. They may detect unknown compounds, compounds that are present in levels below the limit of detection for chemical analysis, quantify mixture effects or quantify the presence of certain elasses of eompounds in a more cost effective way. Although... [Pg.123]

See other pages where Filling compound effects, analysis is mentioned: [Pg.81]    [Pg.490]    [Pg.192]    [Pg.427]    [Pg.178]    [Pg.366]    [Pg.1074]    [Pg.278]    [Pg.270]    [Pg.481]    [Pg.621]    [Pg.327]    [Pg.279]    [Pg.120]    [Pg.108]    [Pg.1007]    [Pg.383]    [Pg.192]    [Pg.404]    [Pg.427]    [Pg.425]    [Pg.358]    [Pg.99]    [Pg.397]    [Pg.356]    [Pg.130]    [Pg.78]    [Pg.1227]    [Pg.217]    [Pg.382]    [Pg.358]    [Pg.77]    [Pg.265]    [Pg.64]    [Pg.1226]    [Pg.303]    [Pg.306]    [Pg.192]    [Pg.231]    [Pg.97]    [Pg.59]    [Pg.190]    [Pg.82]    [Pg.204]    [Pg.298]   
See also in sourсe #XX -- [ Pg.81 , Pg.82 , Pg.83 , Pg.84 , Pg.85 , Pg.86 , Pg.87 , Pg.88 ]



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Filling compound effects, analysis structure

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